Citable (able to point & track citations)ģ. Discoverable (can be indexed by a system)Ĩ. Comprehensible (others can understand data & processes)ĥ. Reproducible (others can redo experiments)Ĥ. Trusted (validated/checked by reviewers)Ħ. This data was then used to calculate monthly sea ice extents for both the Arctic d the Antarctic.Ĭonclusion: we (collectively) need to do more of this! How can we fund it?ħ. Nearly 200,000 visible light images were scanned, rectified and navigated.Īll the resultant data was converted to HDF-5 (NetCDF) format and freely distributed to users from NASA and NSIDC servers. Over 4000 7-track tapes of global infrared satellite data were read and reprocessed. Recovery, reprocessing and digitization of the infrared and visible observations along with their navigation and formatting. With IEDA/Lamont: award succesful data rescue attemptsĢ3 submissions of data that was digitized, preserved, made available “We’re not going to spend any more money for you to go out and get more data! We want you first to show us how you’re going to use all the data we paid y’all to collect in the past!” “If we can share our data, we can write a paper that will knock everybody’s socks off!”īarbara Ransom, NSF Program Director Earth Sciences: We will require scientists to track and share their data as least as well, if not better, than they are sharing their ideas today.” But tomorrow, data will be the main product of science…. “Today, the major public product of science are concepts, written down in papers. “Foster an ecosystem that enables biomedical research to be done as a digital enterprise.” Phil Bourne, Ass Director for Data Science at NIH:
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